Description

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Build and optimize ETL/ELT workflows using Python and PySpark.
• Process large-scale datasets using Apache Spark.
• Work with GCP services such as BigQuery, Dataproc, Dataflow, Cloud Storage (GCS), Cloud Composer (Airflow), and Pub/Sub.
• Ensure data quality, performance optimization, and reliability of data pipelines.
• Collaborate with cross-functional teams to understand business requirements and deliver robust data solutions.
• Troubleshoot production issues and implement performance improvements

Key Skills

Education

Bachelor's degree